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Contact Info

Current duties

I currently lead the Data Science team within the Macroeconomic Research department at Kapitalo Investimentos.

My work spans a large range of domains, from creating indicators from unstructured data to developing and deploying models for estimating and forecasting macroeconomic variables across multiple countries.

Book

I’m the author of R for Economic Research - Essential tools for modern economic analysis, a comprehensive guide on utilizing R for professional economic analysis.

The book showcases real-world applications of data science in economics, making it a valuable resource for both researchers and practitioners.

Disclaimer

This resume was made with the R package pagedown.

Last updated on 2024-08-31.

Main

J. Renato Leripio

Head of Data Science | Senior Economic Analyst

I’m an experienced quantitative analyst with a robust background in R programming. My expertise covers the entire data science pipeline, from web scraping and data wrangling to dynamic reports and dashboards.

I’m also proficient in advanced modeling techniques, including Time Series econometrics, State-Space models, ML, and Bayesian inference.

Professional Experience

Kapitalo Investimentos

Head of Data Science

São Paulo, Brazil

Present - 2022

Itau Asset Management

Quantitative Research Analyst

São Paulo, Brazil

2022 - 2019

IPEDF

Economic Research Analyst

Brasília, Brazil

2019 - 2017

IBRE - FGV

Graduate Research Fellow

Rio de Janeiro, Brazil

2017 - 2016

Education

M.S in Economics

Universidade Federal Fluminense

Rio de Janeiro, Brazil

2017

B.S in Economics

Universidade Federal Fluminense

Rio de Janeiro, Brazil

2013

Workshops Attended

DevOps for Data Scientists

Posit Conference

Seattle, USA

2024

Modeling and Forecasting the International Dimensions

43rd ISF Summer School

Charlottesville, USA

2023

Talks Delivered

43rd Intl. Symposium on Forecasting (IIF)

Nowcasting Inflation in Brazil Using Web Data

Charlottesville, USA

2023

40th Intl. Symposium on Forecasting (IIF)

Real-time Forecasting COVID-19 cases applied to US regions

Remote

2020